Regression with Linear Predictors
This text provides, in a non-technical language, a unified treatment of regression models for different outcome types, such as linear regression, logistic regression, and Cox regression. This is done by focusing on the many common aspects of these models, in particular the linear predictor, which co...
Main Authors: | , |
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Corporate Author: | |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2010.
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Series: | Statistics for Biology and Health,
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Statistical models
- One categorical covariate
- One quantitative covariate
- Multiple regression, the linear predictor
- Model building: From purpose to conclusion
- Alternative outcome types and link functions
- Further topics.